2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Journal Year: 2024, Volume and Issue: 3, P. 1 - 8
Published: Sept. 10, 2024
Language: Английский
IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 145813 - 145852
Published: Jan. 1, 2023
The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.
Language: Английский
Citations
62
IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 21621 - 21633
Published: Jan. 1, 2024
This research presents a groundbreaking approach in aerial image analysis by integrating the Real-Time Detection and Recognition (RT-DETR-X) model with Slicing Aided Hyper Inference (SAHI) methodology, utilizing VisDrone-DET dataset. Aimed at enhancing efficiency of drone technology across spectrum applications, including water conservancy, geological exploration, military operations, this study focuses on harnessing real-time, end-to-end object detection capabilities RT-DETR-X. Characterized its high-speed high-accuracy performance, particularly UAV photography, RT-DETR-X demonstrates remarkable 54.8% Average Precision (AP) 74 frames per second (FPS), surpassing similar models both speed accuracy. The thoroughly examines dataset, which encompasses diverse range small targets photography scenes. Covering 10 distinct categories, dataset provides robust platform for rigorous testing. emphasizes utilization original comprehensive training evaluation, alongside practical implementation SAHI method enhanced small-scale objects. Through an in-depth exploration model's performance various scenarios detailed environmental setup, paper underscores impact RT-DETR approach. findings reveal significant progress technologies, offering holistic framework effective efficient surveillance. integration not only boosts accuracy but also opens new avenues advanced applications.
Language: Английский
Citations
18
Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 236 - 290
Published: Jan. 26, 2024
The widespread use of drones across various industries is leading to significant transformations. However, the resulting concerns about data security and privacy are quite significant. This section offers a thorough exploration these important issues, providing insights into challenges they pose potential ways address them. Starting with an overview increasing utility drones, this chapter highlights importance strong protocols for privacy. By examining complexities collection storage, it reveals different types that gather, delves storage techniques, vulnerabilities, setting stage effective countermeasures. At core discussion cybersecurity risks, which range from cyberattacks on drone systems unauthorized access tampering data. To sum up, serves as comprehensive guide understanding, addressing, mitigating related in operations.
Language: Английский
Citations
18
Internet of Things, Journal Year: 2024, Volume and Issue: 27, P. 101281 - 101281
Published: July 6, 2024
Language: Английский
Citations
11
Data & Metadata, Journal Year: 2024, Volume and Issue: 3
Published: Sept. 2, 2024
Unmanned aerial vehicles (UAVs), commonly referred to as drones, are extensively employed in various real-time applications, including remote sensing, disaster management and recovery, logistics, military operations, search rescue, law enforcement, crowd monitoring control, owing their affordability, rapid processing capabilities, high-resolution imagery. Additionally, drones mitigate risks associated with terrorism, disease spread, temperature fluctuations, crop pests, criminal activities. Consequently, this paper thoroughly analyzes UAV-based surveillance systems, exploring the opportunities, challenges, techniques, future trends of drone technology. It covers common image preprocessing methods for highlights notable one- two-stage deep learning algorithms used object detection drone-captured images. The also offers a valuable compilation online datasets containing drone-acquired photographs researchers. Furthermore, it compares recent imaging detailing purposes, descriptions, findings, limitations. Lastly, addresses potential research directions challenges related usage
Language: Английский
Citations
11
International Journal of Dynamics and Control, Journal Year: 2025, Volume and Issue: 13(2)
Published: Jan. 29, 2025
Language: Английский
Citations
1
Information, Journal Year: 2024, Volume and Issue: 15(2), P. 104 - 104
Published: Feb. 9, 2024
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion switching scenarios significantly impede the reliability of In current study, we strive to enhance also efficacy tracking complex scenarios. Particularly, introduce a new algorithm that leverages both YOLOv8 (You Only Look Once) object detector technique StrongSORT algorithm, which is an advanced deep learning multi-object (MOT) method. Our findings demonstrate StrongSORT, enhanced version DeepSORT MOT substantially improves accuracy through meticulous hyperparameter tuning. Overall, experimental results reveal proposed effective efficient method for tracking, particularly encountered MOT16 MOT17 datasets. The combined use Yolov8 contributes results, emphasizing synergistic relationship between detection modules.
Language: Английский
Citations
7
IEEE Transactions on Network Science and Engineering, Journal Year: 2024, Volume and Issue: 11(3), P. 2890 - 2900
Published: Jan. 12, 2024
Optical wireless communication (OWC) stands out as a potential enabling technology poised to drive the rapid deployment of sixth-generation (6G)-based indoor networks. However, one major limitations utilizing laser-based OWC in environments is non-availability line-of-sight (LoS) connectivity between communicating devices due blockages. To tackle problem LoS non-availability, unmanned aerial vehicles (UAVs) and optical intelligent reflecting surfaces (OIRS) are exhibited solutions. This paper proposes integration with an OIRS-assisted UAV support quality service (QoS) requirements for 6G-based Specifically, we develop joint user selection mirror element assignment maximize number users served subject QoS OWC-related design constraints. optimization was NP-hard binary non-linear problem, which can be optimally solved polynomial time using sequential-fixing linear programming. realize our distributed manner, propose batch-based user-selection mirror-element (BMEA) scheme that performs simultaneous decisions several contending users. The obtained results show proposed significantly outperforms existing reference schemes terms spectrum efficiency, sum rate, users, fairness.
Language: Английский
Citations
5
Cluster Computing, Journal Year: 2024, Volume and Issue: 27(7), P. 9381 - 9394
Published: April 21, 2024
Language: Английский
Citations
5
Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: April 16, 2024
Language: Английский
Citations
4